This repository contains practical implementations ... for optimization, logistic regression for binary classification, loss functions to evaluate model performance, and regularization to prevent ...

The scripts directory contains multiple python scripts that can be used to run the experiments ... There are optimizers for logistic likelihood, variance-regularized logistic likelihood, ...

This multimodal approach opens up a wide range of practical applications, from customer service chatbots to sports highlight identification and even complex tasks like code transformation ...

Microsoft's Debug-Gym is a Python-driven framework aimed at assessing capabilities of AI agents in handling practical ...

Transform Excel with Python integration: automate tasks, analyze data, and uncover insights for smarter decisions. This ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of Nadaraya-Watson kernel regression ...

Here's how to run both simple and multiple linear regression in Google Sheets using the built-in LINEST function. No add-ons ...